Virtual Human Imaging

Authors:
Yang Cai;Iryna Pavlyshak;Li Ye;Ryan Magargle;James Hoburg
Affiliations:
Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA;Ansoft, Inc., Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA
Venue:
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Year:
2009

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Abstract

Given 3D scanned anthropological models and the physical parameters of a microwave imaging system, we develop a virtual human surface imagery system with a finite multi-physics surface model. The concealed object detection algorithms are developed based on the wave intensity and surface characteristics. The virtual human image system can be integrated into a systematic design process, enabling multidisciplinary innovations in security, privacy, healthcare, computer vision, and information visualization. This forward-thinking approach intends to transform the development of human imaging technologies from being device-specific and proprietary to being device-independent and open source-oriented. It also transforms the research into a systematic design process, enabling multidisciplinary innovations in digital human modeling, computer vision, information visualization, and computational aesthetics. This study can help to design privacy-aware imaging systems in airports and medical systems.